Case Studies In Secure Computing

In today’s age of wireless and mobile computing, network and computer security is paramount. Case Studies in Secure Computing: Achievements and Trends gathers the latest research from researchers who share their insights and best practices through illustrative case studies. This book examines the growing security attacks and countermeasures in the stand-alone and networking worlds, along with other pertinent security issues. The many case studies capture a truly wide range of secure computing applications. Surveying the common elements in computer security attacks and defenses, the book: Describes the use of feature selection and fuzzy logic in a decision tree model for intrusion detection Introduces a set of common fuzzy-logic-based security risk estimation techniques with examples Proposes a secure authenticated multiple-key establishment protocol for wireless sensor networks Investigates various malicious activities associated with cloud computing and proposes some countermeasures Examines current and emerging security threats in long-term evolution backhaul and core networks Supplies a brief introduction to application-layer denial-of-service (DoS) attacks Illustrating the security challenges currently facing practitioners, this book presents powerful security solutions proposed by leading researchers in the field. The examination of the various case studies will help to develop the practical understanding required to stay one step ahead of the security threats on the horizon. This book will help those new to the field understand how to mitigate security threats. It will also help established practitioners fine-tune their approach to establishing robust and resilient security for next-generation computing systems.

Although the field of intelligent systems has grown rapidly in recent years, there has been a need for a book that supplies a timely and accessible understanding of this important technology. Filling this need, Case Studies in Intelligent Computing: Achievements and Trends provides an up-to-date introduction to intelligent systems. This edited book captures the state of the art in intelligent computing research through case studies that examine recent developments, developmental tools, programming, and approaches related to artificial intelligence (AI). The case studies illustrate successful machine learning and AI-based applications across various industries, including: A non-invasive and instant disease detection technique based upon machine vision through the image scanning of the eyes of subjects with conjunctivitis and jaundice Semantic orientation-based approaches for sentiment analysis An efficient and autonomous method for distinguishing application protocols through the use of a dynamic protocol classification system Nonwavelet and wavelet image denoising methods using fuzzy logic Using remote sensing inputs based on swarm intelligence for strategic decision making in modern warfare Rainfall–runoff modeling using a wavelet-based artificial neural network (WANN) model Illustrating the challenges currently facing practitioners, the book presents powerful solutions recently proposed by leading researchers. The examination of the various case studies will help you develop the practical understanding required to participate in the advancement of intelligent computing applications. The book will help budding researchers understand how and where intelligent computing can be applied. It will also help more established researchers update their skills and fine-tune their approach to intelligent computing.

The book contains several new concepts, techniques, applications and case studies for cyber securities in parallel and distributed computing The main objective of this book is to explore the concept of cybersecurity in parallel and distributed computing along with recent research developments in the field. Also included are various real-time/offline applications and case studies in the fields of engineering and computer science and the modern tools and technologies used. Information concerning various topics relating to cybersecurity technologies is organized within the sixteen chapters of this book. Some of the important topics covered include: Research and solutions for the problem of hidden image detection Security aspects of data mining and possible solution techniques A comparative analysis of various methods used in e-commerce security and how to perform secure payment transactions in an efficient manner Blockchain technology and how it is crucial to the security industry Security for the Internet of Things Security issues and challenges in distributed computing security such as heterogeneous computing, cloud computing, fog computing, etc. Demonstrates the administration task issue in unified cloud situations as a multi-target enhancement issue in light of security Explores the concepts of cybercrime and cybersecurity and presents the statistical impact it is having on organizations Security policies and mechanisms, various categories of attacks (e.g., denial-of-service), global security architecture, along with distribution of security mechanisms Security issues in the healthcare sector with existing solutions and emerging threats.

The book compiles technologies for enhancing and provisioning security, privacy and trust in cloud systems based on Quality of Service requirements. It is a timely contribution to a field that is gaining considerable research interest, momentum, and provides a comprehensive coverage of technologies related to cloud security, privacy and trust. In particular, the book includes - Cloud security fundamentals and related technologies to-date, with a comprehensive coverage of evolution, current landscape, and future roadmap. - A smooth organization with introductory, advanced and specialist content, i.e. from basics of security, privacy and trust in cloud systems, to advanced cartographic techniques, case studies covering both social and technological aspects, and advanced platforms. - Case studies written by professionals and/or industrial researchers. - Inclusion of a section on Cloud security and eGovernance tutorial that can be used for knowledge transfer and teaching purpose. - Identification of open research issues to help practitioners and researchers. The book is a timely topic for readers, including practicing engineers and academics, in the domains related to the engineering, science, and art of building networks and networked applications. Specifically, upon reading this book, audiences will perceive the following benefits: 1. Learn the state-of-the-art in research and development on cloud security, privacy and trust. 2. Obtain a future roadmap by learning open research issues. 3. Gather the background knowledge to tackle key problems, whose solutions will enhance the evolution of next-generation secure cloud systems.

The National Security Agency's INFOSEC Assessment Methodology (IAM) provides guidelines for performing an analysis of how information is handled within an organization: looking at the systems that store, transfer, and process information. It also analyzes the impact to an organization if there is a loss of integrity, confidentiality, or availability. Security Assessment shows how to do a complete security assessment based on the NSA's guidelines. Security Assessment also focuses on providing a detailed organizational information technology security assessment using case studies. The Methodology used for the assessment is based on the National Security Agency's (NSA) INFOSEC Assessment Methodology (IAM). Examples will be given dealing with issues related to military organizations, medical issues, critical infrastructure (power generation etc). Security Assessment is intended to provide an educational and entertaining analysis of an organization, showing the steps of the assessment and the challenges faced during an assessment. It will also provide examples, sample templates, and sample deliverables that readers can take with them to help them be better prepared and make the methodology easier to implement. Everything You Need to Know to Conduct a Security Audit of Your Organization Step-by-Step Instructions for Implementing the National Security Agency's Guidelines Special Case Studies Provide Examples in Healthcare, Education, Infrastructure, and more

Technological advancements have extracted a vast amount of useful knowledge and information for applications and services. These developments have evoked intelligent solutions that have been utilized in efforts to secure this data and avoid potential complex problems. Advances in Secure Computing, Internet Services, and Applications presents current research on the applications of computational intelligence in order to focus on the challenge humans face when securing knowledge and data. This book is a vital reference source for researchers, lecturers, professors, students, and developers, who have interest in secure computing and recent advanced in real life applications.

Developing nations have seen many technological advances in the last decade. Although beneficial and progressive, they can lead to unsafe mobile devices, system networks, and internet of things (IoT) devices, causing security vulnerabilities that can have ripple effects throughout society. While researchers attempt to find solutions, improper implementation and negative uses of technology continue to create new security threats to users. Cybersecurity Capabilities in Developing Nations and Its Impact on Global Security brings together research-based chapters and case studies on systems security techniques and current methods to identify and overcome technological vulnerabilities, emphasizing security issues in developing nations. Focusing on topics such as data privacy and security issues, this book is an essential reference source for researchers, university academics, computing professionals, and upper-level students in developing countries interested in the techniques, laws, and training initiatives currently being implemented and adapted for secure computing.

This engaging textbook highlights the essential need for a strong ethical framework in our approach to computer, information and engineering science. Through thought-provoking questions and case studies, the reader is challenged to consider the deeper implications arising from the use of today’s rapidly-evolving computing technologies and ever-changing communication ecosystems. This updated second edition features new material on information security, intellectual property rights, the Internet of Things, and 5G technologies. Topics and features: introduces a philosophical framework and tools for understanding and analyzing computer ethics in personal, public, and professional spheres; describes the impact of computer technology on issues of security, privacy, anonymity, and civil liberties; examines intellectual property rights in the context of computing, including the risks and liabilities associated with software; discusses such key social issues in computing as the digital divide, employee monitoring in the workplace, and risks to physical and mental health; reviews the history of computer crime, and the threat of digitally facilitated bullying, harassment, and discrimination; considers the ethical challenges arising from online social networks, mobile telecommunications, virtual reality, the Internet of Things, and 5G technologies; includes learning objectives, discussion questions and exercises throughout the book. This concise and accessible work addresses the critical ethical and moral issues important to all designers and users of computer technologies. The text incorporates the latest curricula requirements for undergraduate courses in computer science, and offers invaluable insights into the social impact and legal challenges posed by the latest generation of computing devices and networks.